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Malindi Station contribution to the Global Climate Change assessment

机译:马林迪站对全球气候变化评估的贡献

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The San Marco Equatorial Range in Kenya (Malindi) has been equipped with a direct ingestion system able to acquire SAR data of ERS-1 and 2 using the 10 m S/L/X band antenna available at the station. After a past activity regarding the acquisition during the TANDEM mission campaign, the antenna has been recently used to re-start the operation. Moreover, an L-band system, completely dedicated to NOAA and Seastar (ORBVIEW/2) data acquisition, will be installed soon. This will integrate the weekly sounding performed with meteorological balloons in order to monitor the ozone, temperature, pressure, humidity and wind profiles at these tropical latitudes. Environmental data analysis is performed on the basis of algorithms already tested like the GSWT (General Split Window Technique) developed at CRPSM and used by ESA for the World Land Surface Temperature Project In this paper we describe the application of this algorithm to the equatorial area and the attempt of making the SST and LST retrieved values accurate enough to satisfy the requirement of a Global Climate Change assessment This result can be obtained by improving the corrective terms, such as the evaluation of the atmospheric and non-black body effect on satellite data by means of a comparison with ground based measurements and ancillary data computed locally. For the future MODE (NASA) and MERIS (ESA) sensors to be lunched in the next years, the above mentioned algorithm should exploit the higher number of opportunely designed bands in order to obtain the information necessary for an even more accurate LST and SST estimate.
机译:肯尼亚的圣马可赤道山脉(马林迪)配备有直接摄取系统,该系统能够使用该电台可用的10 m S / L / X波段天线来获取ERS-1和2的SAR数据。在TANDEM任务战役中进行了与获取有关的活动之后,最近已使用该天线重新开始操作。此外,即将安装完全专用于NOAA和Seastar(ORBVIEW / 2)数据采集的L波段系统。这将每周与气象气球一起进行测深,以监测这些热带纬度上的臭氧,温度,压力,湿度和风廓线。环境数据分析是根据已经测试过的算法(如CRPSM开发的,GSA(通用裂窗技术),并由ESA用于世界陆地表面温度项目的算法)进行的。在本文中,我们描述了该算法在赤道地区的应用。尝试使SST和LST的取回值足够准确,以满足全球气候变化评估的要求。可以通过改进校正项来获得此结果,例如通过以下方法评估卫星数据对大气和非黑体的影响:与基于地面的测量和本地计算的辅助数据进行比较的手段。对于未来几年将要使用的未来MODE(NASA)和MERIS(ESA)传感器,上述算法应利用更多数量的适当设计的频段,以便获得更准确的LST和SST估计所需的信息。

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